CN110139135B - Methods, systems, and media for presenting recommended media content items - Google Patents

Methods, systems, and media for presenting recommended media content items Download PDF

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CN110139135B
CN110139135B CN201910445076.8A CN201910445076A CN110139135B CN 110139135 B CN110139135 B CN 110139135B CN 201910445076 A CN201910445076 A CN 201910445076A CN 110139135 B CN110139135 B CN 110139135B
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media content
media
user
content item
user account
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CN110139135A (en
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杰森·拜尔
刘心诚
卡尔文·李
斯蒂芬·周
格热戈日·格罗瓦提
兰迪·西蒙
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Google LLC
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Abstract

Methods, systems, and media for presenting recommended media content items are disclosed. In accordance with some implementations of the disclosed subject matter, mechanisms for presenting recommended media content items are provided. A method for providing media guidance is provided, comprising: receiving a search query from a user having a user account; determining that a first portion of the search query implies a location associated with the user account, that a second portion of the search query implies a time, and that a third portion of the search query implies a device associated with the user account; determining that a plurality of media content items are available via the implied device at the implied time at the implied location associated with the user; selecting at least one media content item from the plurality of media content items based on the popularity information associated with each of the plurality of media content items; and causing a recommendation interface to be presented, wherein the recommendation interface includes at least one media content item.

Description

Methods, systems, and media for presenting recommended media content items
The present application is a divisional application having an application number of 201480062167.9, a filing date of 2014, 12/11, entitled "method, system, and medium for presenting recommended media content items".
Cross Reference to Related Applications
This application claims the benefit of U.S. patent application No. 14/097,557 filed on 5.12.2013, which claims the benefit of U.S. provisional patent application No. 61/903,390 filed on 13.11.2013, which is incorporated herein by reference in its entirety.
Technical Field
The disclosed subject matter relates to methods, systems, and media for presenting recommended media content items.
Background
There is a large amount of media content available to the average consumer. More specifically, there are many applications that consumers can use on televisions or set-top boxes, allowing consumers to consume media content from a variety of sources. For example, the consumer can choose between: media content that is linearly transmitted from a multichannel video program distributor, video-on-demand content provided by a multichannel video program distributor, personal media content acquired by a consumer, recorded content stored on a digital video recorder or any other suitable storage device, and/or on-demand content provided from an over-the-top provider.
As the number of sources continues to increase (e.g., additional top-level providers of on-demand content), media guidance becomes increasingly important. For example, consumers often need to select a content source to access by running a particular application or accessing a particular portion of an application before deciding which media content to view.
Accordingly, mechanisms for presenting recommended media content items are provided.
Disclosure of Invention
In accordance with some implementations of the disclosed subject matter, mechanisms for presenting recommended media content items are provided.
In accordance with some embodiments of the disclosed subject matter, there is provided a method for providing media guidance, the method comprising: receiving a query from a user; determining search terms from the received query; determining location information corresponding to the user and popularity information associated with a plurality of media content items and a plurality of content sources; selecting a media content item from the plurality of media content items based at least in part on the popularity information associated with each of the plurality of media content items and the search term from the received query, wherein the selected media content item is available from the plurality of content sources; selecting at least one content source from the plurality of content sources based at least in part on the location information associated with the user and popularity information associated with each of the plurality of content sources; and causing a recommendation interface to be presented to the user, wherein the recommendation interface includes the selected media content item provided from at least one selected content source.
In accordance with some implementations of the disclosed subject matter, a system for providing media guidance is provided. The system includes a hardware processor configured to: receiving a query from a user; determining search terms from the received query; determining location information corresponding to the user and popularity information associated with a plurality of media content items and a plurality of content sources; selecting a media content item from the plurality of media content items based at least in part on the popularity information associated with each of the plurality of media content items and the search term from the received query, wherein the selected media content item is available from the plurality of content sources; selecting at least one content source from the plurality of content sources based at least in part on the location information associated with the user and popularity information associated with each of the plurality of content sources; and causing a recommendation interface to be presented to the user, wherein the recommendation interface includes the selected media content item provided from the at least one selected content source.
According to some implementations of the disclosed subject matter, a non-transitory computer-readable medium is provided containing computer-executable instructions that, when executed by a processor, cause the processor to perform a method for providing media guidance. The method comprises the following steps: receiving a query from a user; determining search terms from the received query; determining location information corresponding to the user and popularity information associated with a plurality of media content items and a plurality of content sources; selecting a media content item from the plurality of media content items based at least in part on the popularity information associated with each of the plurality of media content items and the search term from the received query, wherein the selected media content item is available from the plurality of content sources; selecting at least one content source from the plurality of content sources based at least in part on the location information associated with the user and popularity information associated with each of the plurality of content sources; and causing a recommendation interface to be presented to the user, wherein the recommendation interface includes the selected media content item provided from at least one selected content source.
In accordance with some implementations of the disclosed subject matter, a system for providing media guidance is provided. The system comprises: means for receiving a query from a user; means for determining search terms from the received query; means for determining location information corresponding to the user and popularity information associated with a plurality of media content items and a plurality of content sources; means for selecting a media content item from the plurality of media content items based at least in part on the popularity information associated with each of the plurality of media content items and the search term from the received query, wherein the selected media content item is available from the plurality of content sources; means for selecting at least one content source from the plurality of content sources based at least in part on the location information associated with the user and popularity information associated with each of the plurality of content sources; and means for causing a recommendation interface to be presented to the user, wherein the recommendation interface includes the selected media content item provided from at least one selected content source.
In some embodiments, the system further comprises: means for extracting the location term and the timestamp term as search terms from the received query; and means for searching the plurality of media content items for media content items that match the extracted location items and the extracted timestamp items.
In some embodiments, the system further comprises: means for ranking the matching media content items based at least in part on the associated popularity information; and means for selecting a subset of the matching media content items based on the ranking.
In some implementations, the recommendation interface includes the subset of the matching media content items, and wherein each of the media content items in the subset of the matching media content items is selectable by the user.
In some implementations, the system further includes means for determining a subset of the plurality of content sources for providing the selected media content item, wherein the subset of the plurality of content sources includes live content sources that are available to the user based on the location information and the associated popularity information.
In some implementations, the system further includes means for determining a subset of the plurality of content sources for providing the selected media content item, wherein the subset of the plurality of content sources includes on-demand content sources that are available to the user based on one or more of: the associated popularity information, applications installed on devices associated with the user, and historical information associated with the user.
In some implementations, the system further includes means for determining a subset of the plurality of content sources for providing the selected media content item, where the subset of the plurality of content sources includes on-demand content sources that are available to users having external streaming media devices.
In some implementations, the system further includes means for determining a subset of the plurality of content sources for providing the selected media content item, wherein the subset of the plurality of content sources includes on-demand content sources that are available based on applications associated with media devices at or near the location of the location information associated with the user.
In some embodiments, the system further comprises: means for extracting equipment items from the received query; and means for searching the plurality of media content items for a matching media content item, the matching content item being provided by a media device corresponding to the device item in the received query.
In some implementations, the recommendation interface includes one or more recommendation reasons for the user to select the media content item.
Drawings
Various objects, features and advantages of the disclosed subject matter will become more fully apparent from the following detailed description of the disclosed subject matter when considered in conjunction with the accompanying drawings in which like reference characters identify like elements.
FIG. 1 is a flow diagram of an illustrative process for providing media guidance using one or more recommendation interfaces with media content items from various sources in accordance with some implementations of the disclosed subject matter.
FIG. 2 is a flow diagram of an illustrative process for selecting a recommended media content item from a plurality of media content items in accordance with some implementations of the disclosed subject matter.
FIG. 3 is a flow diagram of an illustrative process for selecting a recommended content source from a plurality of content sources in accordance with some embodiments of the disclosed subject matter.
FIG. 4 is an illustrative screen of recommended content items in the form of a recommendation interface in which each recommended content item is provided with a recommendation reason and one or more available content sources in accordance with some embodiments of the disclosed subject matter.
Fig. 5 is an illustrative screen of a recommended content item in the form of a recommendation interface in which content availability information is provided using the recommended content item that prompts a user to install an application associated with a content provider or to subscribe to the content provider in accordance with some implementations of the disclosed subject matter.
FIG. 6 is an illustrative screen of a recommended content item in the form of a recommendation interface in which the recommended content item is provided with content availability information indicating that the media content item is available using a media streaming device in accordance with some implementations of the disclosed subject matter.
FIG. 7 is an illustrative screen of recommended content items in the form of a recommendation interface that includes an attraction interface having a plurality of recommended content items for selection in accordance with some implementations of the disclosed subject matter.
FIG. 8 shows a schematic diagram of hardware that can be used according to some embodiments.
Fig. 9 illustrates an example of hardware that can be used in a server and/or user device, according to some embodiments.
Detailed Description
According to various embodiments as detailed below, mechanisms for presenting recommended media content items are provided, which can include systems, methods, and computer-readable media.
In general, recommended media content items from a recommended media content source can be provided in a recommendation interface. For example, multiple recommendation interfaces can be presented to a user simultaneously, where each recommendation interface can provide contextually relevant media content items that the user may be interested in consuming, and where each recommendation interface can be provided from one or more recommended content sources available to the user. In another example, a recommendation interface in the form of an attraction interface including a plurality of recommended content items can be presented to the user. Such a recommendation interface can include the recommended media content item, information about the recommended media content item (e.g., title, rating, profile, run time, start time, and end time, etc.), and options for obtaining the recommended media content item from the recommended content source.
In some implementations, the recommended media content items can be selected from a plurality of media content items based on popularity information. For example, the mechanisms can determine which media content items to recommend by ranking the media content items based on popularity information and selecting the media content items based on their rankings. For media content items having multiple episodes of a series, the mechanism can determine a particular episode in a particular series for recommendation to a user based on popularity information and/or interest information (e.g., a likelihood that the user is interested in the media content). In a more specific example, the recommended media content items can be selected based on popularity information and location information of the user (e.g., popular media content items at the user's location).
It should be noted that in some implementations, the mechanism can receive a query from a user prior to selecting a recommended media content item for providing the recommended media content item. For example, a user can launch a client application on a mobile device and provide input, such as "I wait to watch something at home this night (I wait to state at home night and watch sounding). The mechanism can extract search terms from the provided input, which include, for example, location information (e.g., "home") and time stamp information (e.g., "tonight"). In response to extracting these search terms, the mechanism can determine which media content items match location information (e.g., which media content items are available at location information associated with the user) and/or match timestamp information (e.g., which media content is available to the user at the particular time).
It should also be noted that in some implementations, the mechanism can provide a reason for recommendation, such as "popularity," along with the recommended media content items within the recommendation interface.
In some implementations, the recommended media content items can be obtained from multiple content sources, such as a top-level content source, a video-on-demand content source, a live television content source, and so forth. The mechanism can select a content source from a plurality of content sources for providing recommended media content items using any suitable criteria. For example, the mechanism can determine content sources that the user is likely to have access to. For live television content sources, the mechanism can select a content source, such as a television channel, based on popularity information and location information. For on-demand content sources, the mechanism can select content sources, such as top-level content sources, based on popularity information, applications installed on the user device, and/or user interest information. Additionally or alternatively, the mechanism can determine whether the recommended media content item can be presented to the user device by installing a media playback application or by subscribing to a service associated with the content provider, and in response prompt the user to install the media playback application or subscribe to the service. Additionally or alternatively, the mechanisms can determine whether the recommended media content items can be presented to the user using an external streaming media device (e.g., a streaming media device connected to the user device over a local area network).
In some implementations, the recommended content items provided by the selected content sources can be presented as a recommendation interface. In a more specific example, the recommendation interface can be presented as a recommendation card or any other suitable user interface that presents information to a user. In this example, a user can load a client application on a mobile device, where the client application presents the user with an opportunity to interact with one or more cards that include, among other things, recommended content items from a selected content source.
Although the embodiments described herein generally relate to presenting a recommendation interface to a user, such as a recommendation card in a recommendation application executing on a mobile device, this is merely illustrative. For example, the recommendation application can be implemented on a television platform. In response to receiving a query from a user via a microphone or other suitable user input device connected to the television device, a recommendation application executing on the television device can provide the user with recommended media content items available to the user — for example, media content items that may be of interest to the user based on interest information such as past selections and location information associated with the television device and that may be available through one or more sources (e.g., by tuning to a channel, by launching a media playback application installed on the television device, by prompting the user to install a media playback application on the television device, or using a media device connected to the television device). In another example, the application can provide the user with different recommendation interfaces, wherein an attraction interface including information about the plurality of recommended media content items can be presented to the user, and in response to selecting a portion of the attraction interface, the plurality of recommendation interfaces including information about the recommended media content items on the attraction interface and a playback option can be presented.
Turning to fig. 1, fig. 1 is a flow diagram of an illustrative process 100 for providing media guidance using one or more recommendation interfaces with media content items from various sources in accordance with some implementations of the disclosed subject matter.
The process 100 can begin by receiving a query from a user at 100. Such a query can be received from a user by any suitable means, such as by the user providing a voice search or a text search through a computing device. In a more specific example, a user can launch a client application on a mobile device that provides content recommendations, and in response to launching the client application, the user is provided with an opportunity to transmit a query such as "I wait to state home tonight and wait for the same thing at home this night.
In response to receiving a query at 110, the process 100 can determine search terms from the received query at 120. For example, in response to receiving the search query "I wait to state home tonight and wait solving," the process 100 can segment the query to obtain search terms, such as "state home" (to be at home), "tonight" (this evening), "waiting solving" (to see something), and "walk" (to see). The process 100 can then determine whether one or more of the search terms fall into a particular category, such as a time stamp term (e.g., "tonight"), a location term (e.g., "stay home" and "home"), and/or an action term (e.g., "watch"). It should be noted that any suitable item can be extracted from the query (e.g. content type of "movie" or "television"). For example, a device item can be extracted from a query, such as "my CAST-enabled device" (My CAST-enabled device) from the query "Romantic command to watch on my CAST-enabled device.
It should be noted that in some implementations, the process 100 can enter a query or query segment into a dictionary of words or phrases such that the search terms can be defined as words or phrases in the dictionary.
In some implementations, the process 100 can receive information related to the user providing the query at 130. The received information can include any suitable information regarding the user's location, and can additionally or alternatively indicate, in some implementations, a number of interactions with or views of the media content of the various categories of media content. As a particular example, the received information can indicate that the user is currently at home and thus may want to watch the media content. As another particular example, the process 100 can determine location information from a user profile, user preferences, search history, and the like. For example, the process 100 can determine location information from a user account associated with the mobile device that includes a location that the user has designated as a home location. In another example, the process 100 can determine an approximate location of the media device from email information (e.g., associated with a user account on the mobile device) and/or search history information. In some implementations, the location information determined from the mobile device associated with the user can include coordinates such as coordinates derived using a Global Positioning System (GPS) and/or approximate coordinates such as coordinates derived using a multi-point location technique (e.g., triangulating radio frequency signals from known radio frequency sources such as wireless base stations), or the like.
In the event that the user agrees to use data regarding the user's location, such data can be used to create a recommender card or suitable interface that suggests media content items according to some embodiments. In some implementations, the user location for presenting recommended media content items can be limited to products provided by the company presenting the card or interface (e.g., to a particular search query interface, to a particular email client, and/or any other particular product). Additionally or alternatively, in some implementations, the user may be required to log into an account before the user location information can be used to present the recommended media content item.
In some implementations, the received information can include any suitable information regarding user interests and media preferences. For example, the received information can indicate the user's preferences based on past behavior (e.g., past media content selections). It should be noted that in some implementations, the user can specify that certain types of activities or information should or should not be considered when presenting a card or interface with recommended media content items. For example, in some implementations, the user can specify that the recommendation interface should only be presented based on, for example, a search query, previously streamed media content, and/or any other type of activity. As another example, in some implementations, a user can specify that certain types of activities should not be considered when presenting an interface with recommended media content items, such as reading or replying to emails, browsing history, and/or any other type of activity.
In some implementations, the received information can include popularity information related to the media content item. For example, the received information can indicate a popularity of a particular item of media content, and its popularity can be based on past ratings or rankings (e.g., ratings, reviews, or any other popularity indicators). As with particular embodiments, the received information can indicate that the media content item is the most watched tv programs domestically in the past week. As another example, the received information can indicate a current trend in media content popularity, e.g., based on topics discussed in one or more social media networks.
It should be noted that where the systems discussed herein collect personal information about a user or personal information may be used, a user may have an opportunity to control whether programs or features collect user information (e.g., information about the user's social network, social actions or activities, profession, user preferences, or the user's current location), and/or to control whether and/or how content may be more relevant to the user is received from a content server. Further, certain data may be processed in one or more ways before it is stored or used, so that personally identifiable information is removed. For example, the identity of the user may be processed such that personally identifiable information for the user cannot be determined, or the geographic location of the user from which the location information is obtained may be generalized (such as to a city, zip code, or state level) such that a particular location of the user cannot be determined. Thus, the user may have control over how information is collected about the user and used by the content server.
Alternatively, in some implementations, the process 100 can receive interest information, location information, and/or popularity information without receiving a query from a user. For example, process 100 can receive such information in response to launching a client application on a computing device. In a more specific example, in response to launching the client application on the mobile device, the process 100 can receive location information related to the user and popularity information related to the plurality of media content items without receiving a voice query from the user.
In some implementations, the process 100 can select a media content item from a plurality of media content items at 140, where the selected media content item is available for provision from one or more content sources. For example, media content items can be selected based on the received interest information, location information, and popularity information. As described above, media content items can be selected based on location items and timestamp items within a search query.
In some implementations, when the media content item has a multi-episode series, the process 100 can select an episode that may be of interest to the user. For example, a particular set for a particular season can be selected based on popularity information (e.g., a most popular set that plays out in a given month). In another example, a particular episode for a particular season can be selected based on any other suitable criteria, such as a user's selection of media content in the past (e.g., a later episode that the user has not yet viewed).
In some implementations, when the received search query includes device items or application items, the process 100 can select a media content item from a plurality of media content items based on being available through a media device or media application corresponding to the item in the search query. For example, in response to receiving the query "management command on my CAST-enabled device," the process 100 can select media content items that are available through CAST-enabled devices indicated in the search query, and select a subset of those media content items based on popularity information. In examples where the user has agreed to detect nearby devices in proximity to the user device, process 100 can indicate the presence of one or more nearby devices, which may be suitable for presenting media content in response to receiving a search query.
A more specific example of selecting a media content item from a plurality of media content items is shown in fig. 2. As shown, the process 200 begins by determining a recommendation score for each of the media content items based on the interest information, location information, and/or media popularity information. For example, each piece of information in the received information can be scored and weighted in any suitable metric, and the resulting weighted scores can be combined in any suitable manner to determine a recommendation score for each of the media content items. In some implementations, any combination of any suitable machine learning or statistical techniques, including linear combinations, neural networks, classification algorithms, recommendation systems, bayesian statistics, and/or any other suitable technique, can be used to generate recommendation scores for each of the media content items.
After determining the recommendation score for each of the media content items, the process 200 can rank the media content items based on the recommendation scores at 220. At 230, the process 200 can select a subset of the media content items for recommendation to the user. For example, the top ten media content items can be inserted into a recommendation interface presented to the user.
Referring back to FIG. 1, for a selected media content item, the process 100 can select a content source from a plurality of content sources for providing the media content item. For example, the selected media content items can be provided by a live television content provider, one or more top-level content providers, one or more on-demand content providers, a digital video recorder, or any other suitable content source. In a more specific example, the process 100 can use various criteria to determine content providers to which the user is likely to have access.
A more specific example of selecting a content source from a plurality of content sources is shown in fig. 3. As shown, at 310, the process 300 can determine that there are multiple content sources for providing the selected media content item.
In some implementations, for a live television content source, the process 300 can determine an available content source based on popularity information and/or location information at 320. For example, based on the user's location information, the process 300 can determine television channels that the user is likely to receive. In a more specific example, process 300 can determine a subset of television channels that a user is likely to receive by excluding a particular channel, such as a paid channel. In another more specific example, the process 300 can determine the television channels that are likely to be received by a user in a particular location, categorize those television channels based on popularity information, and select a subset of those television channels based on their popularity information (e.g., the first twenty television channels that the user is likely to receive and that the user is likely to watch).
In some implementations, the process 300 can allow a user of a computing device to configure available content sources by disabling particular channels. For example, process 300 can receive a voice command (e.g., "I do not get Channel XYZ" (I don't want Channel XYZ) or "I do not want to see recommendations on Channel XYZ") from a user of the computing device. In another example, the process 300 can receive a user interaction with a recommendation interface and disable a particular channel in response to the user interaction. In a more specific example, in response to launching the client application on the mobile device, the user can be provided with a recommendation interface that recommends a particular media content item playing at a particular time on channel XYZ, and in response to the user dismissing or otherwise removing the recommendation interface, the channel associated with the removed recommendation interface can be disabled or excluded from future recommendation interfaces.
It should be noted that in some embodiments, process 300 can distinguish between different speech inputs or text inputs, such as "I do not want to view a program on Channel XYZ" (I do not want to view a program on Channel XYZ) and "I do not have a description to watch a program on Channel XYZ" (I do not subscribe to view a program on Channel XYZ). For example, as described above in connection with the query interpretation feature, the terms can be parsed and interpreted to distinguish between users that are not currently subscribed to a content provider and users that are not interested in recommendations from a particular content provider. In this example, in response to no subscription, the process 300 can provide the user with an opportunity to subscribe to a particular content provider in order to provide a particular media content item. Similarly, in response to no subscription and in response to determining that another content source is available to the user, the process 300 can provide the user with a recommendation interface that includes options for playing back media content items from the available content sources.
In some implementations, for on-demand content sources, the process 300 can determine available content sources based on popularity information, installation of applications, and/or historical information, at 330. For example, in response to a user of the mobile device launching a client application, the client application can determine device information, including applications that have been installed on the mobile device. In response, the process 300 can determine the content source that is playable on the mobile device at this point in time (e.g., based on installation of the application).
Additionally or alternatively, the process 300 can determine the content sources playable on the mobile device by installing an application or by subscribing to a content provider. In response, a recommendation interface can be presented to the user that prompts the user to install an application available from an application store or to subscribe to a content provider.
Additionally or alternatively, in some implementations, the process 300 can detect other devices connected to the mobile device. For example, a client application on a mobile device can execute a particular discovery protocol to detect other media devices connected to a local area network. In response to detecting that a streaming media device is available for playback of media content, the process 300 can determine a content source that is playable on a connected media device, such as an external streaming media device. As such, a user can be presented with a recommendation interface that instructs the connected media device to obtain and present recommended media content items.
In a more specific example, process 300 can detect the presence of a particular device, such as a CAST-enabled device, at or near the user's location. In response to detecting the CAST-enabled device, a recommendation interface including selectable icons or elements instructing a particular application to initiate a session for presenting media content corresponding to the recommendation interface can be presented to the user.
In some implementations, the process 300 can receive information related to email and/or browser history associated with a user of a computing device to determine which on-demand sources are available to the user.
In some implementations, process 300 can allow a user of a computing device to configure available content sources by disabling particular on-demand sources. For example, process 300 can receive a voice command from a user of the computing device (e.g., "I do not want to see a recommendation from provider a") or "I do not have a description to provider a" (I do not subscribe to provider a)). In another example, process 300 can receive a user interaction with a recommendation interface and disable a particular on-demand content source in response to the user interaction. In a more specific example, in response to launching a client application on a mobile device, a user can be provided with a recommendation interface that recommends a particular media content item available from a particular on-demand content source, and in response to the user dismissing or otherwise removing the recommendation interface, the on-demand content source associated with the removed recommendation interface can be disabled or excluded from future recommendation interfaces. In some implementations, the client application can prompt the user to indicate whether a further recommendation interface should exclude the particular on-demand content source.
In some implementations, the process 300 can determine device information associated with the user device, such as device characteristics, and determine the ability of the content source to provide media content to the user device. For example, in response to determining that a user with a mobile device may have particular streaming media capabilities, content sources that are capable of using such streaming media capabilities can be included in the set of available content sources.
Upon determining the available content sources at 320 and 330, the process 300 can select one or more of the available content sources for providing the selected media content item at 340. For example, based on the popularity of the content provider, the process 300 can further select one available television service provider that provides the selected media content item at a particular time on a particular television channel and one available on-demand provider that provides the selected media content item.
Referring back to fig. 1, it should be noted that 140 and 150 can be repeated for multiple media content items. For example, the process 100 can select an additional media content item and determine which content source or content sources to provide the additional media content item.
In response to selecting a recommended media content item available from the selected content source, the process 100 can cause a recommendation interface to be presented to the user at 160. In a more specific example, the recommendation interface can be presented as a recommendation card or any other suitable user interface that presents information to a user. In this example, a user can load a client application on a mobile device, where the client application presents the user with an opportunity to interact with one or more cards that include, among other things, recommended content items from a selected content source.
For example, FIG. 4 shows an illustrative screen of recommended content items in the form of a recommendation interface, where each recommended content item is provided with a reason for recommendation and one or more available content sources, according to some embodiments of the disclosed subject matter. As shown, in some implementations, the mobile device 410 can present an interface 400 that includes recommendation interfaces 420, 440, and 470, where each recommendation interface includes a recommended media content item and information related to the recommended media content item. Such information can include a title, image or screen shot of the media content item, a status identifier (e.g., "in progress"), a channel or source identifier, a start time and end time, a running time, genre information, season numbers, episode numbers, a brief summary, actor information, or any other suitable information describing the media content item.
It should also be noted that, in some implementations, a reason for the recommendation, such as "popular," can be presented within the recommendation interface along with the recommended media content item. For example, as shown in FIG. 4, each of the recommendation interfaces 420, 440, and 470 has been selected to the user based on popularity information. Thus, each recommendation interface presents the item "popular".
As also shown in FIG. 4, each recommendation interface provides the user with options for interacting with recommended media content items. For the recommendation interface 420, an option 430 can be presented, which option 430, when selected, can provide the user with additional information about the recommended media content item. In response to selecting a portion of the recommendation interface 420, the computing device can be instructed to present a media content item (e.g., program a) by tuning to a particular television channel. For the recommendation interface 440, an option 450 can be presented, which option 450, when selected, can provide a media content item from a particular content source (e.g., source A). Further, an option 360 can be presented, which option 460, when selected, can provide the user with an opportunity to purchase a media content item from a particular content source (e.g., source B) and initiate playback.
Although not shown in FIG. 4, in some implementations, the user can interact with a recommender card or interface. For example, if the user is not interested or is no longer interested in the information presented on the card, the card can be removed from the user interface 400. As another example, a card can be "selected" to perform an action or present more information. As a more specific example, if a card is presented that displays recommended media content items available from a particular content source, the card can be selected and in response an action can be performed, such as accessing the particular content source or an application associated with the particular content source to obtain and playback the media content item. The card can be interacted with in any suitable manner. For example, in some implementations, a card can be removed by clicking or tapping on the card or a "remove" icon (e.g., "X" at the corner of the card or any other suitable icon). As another specific example, in some implementations, the card can be eliminated by "sliding" or "dragging" the card out of the edge of the user interface 400. Similarly, the card can be selected by clicking, tapping, or any other suitable mechanism.
In some implementations, the recommendation interface can include suggested content sources. For example, as described above, the client application can suggest to the user to install an application from an application store or place a subscription so that a particular media content item can be presented to the user. For example, fig. 5 shows an illustrative screen of recommending content items in the form of a recommendation interface in which the recommended content items are provided with content availability information that prompts a user to install an application associated with a content provider or to subscribe to the content provider, according to some implementations of the disclosed subject matter. As shown, a recommendation interface 520 for a particular movie (e.g., movie B is presented with an option 530 prompting the user to download an application from an application store in response to selecting option 530, the client application can point the computing device at the application store and begin downloading the application associated with the content source to obtain the particular movie.
In some implementations, the recommendation interface can include a content source for a media device connected to a computing device that performs the above-described process. For example, in response to launching the client application, the computing device can determine a media device (e.g., a television device, a streaming media device, etc.) connected to the computing device in a local area network. In a more specific example, in response to launching the client application, the computing device can execute a full discovery protocol in the network to determine details of any media devices found in the current network. The full discovery protocol can include transmitting a multicast message to all devices in the network, the multicast message requesting device details from the devices in the network. Furthermore, multicast messages can be addressed to certain types of devices and/or can be compatible with discovery protocols for devices that conform to a particular standard (e.g., universal plug and play (UPnP), Digital Living Network Alliance (DLNA), etc.).
In response to detecting a media device, such as a streaming media device, the recommendation interface includes media content items available from such media device. For example, FIG. 6 shows an illustrative screen of recommending content items in the form of a recommendation interface in which the recommended content items are provided with content availability information indicating that the media content items are available through use of a streaming media device, according to some implementations of the disclosed subject matter. As shown, a recommendation interface 620 for a particular movie (e.g., movie B) is presented along with an option 630, the option 630 indicating that a media content item can be provided on a streaming media device connected to the computing device in response to purchasing the media content item. In response to selecting option 630, the client application can refer to the streaming media device purchasing the media content item and beginning playback of the media content item on a display device connected to the streaming media device.
In some implementations, an attraction interface that provides a plurality of recommended media content items can be presented to the user. For example, the processes described herein can determine a plurality of media content items for recommendation to a user, which are each available from one or more content sources. In response, an attraction interface can be generated that aggregates the plurality of recommended media content items for selection by the user. This can, for example, provide the user with a preview of the media content item for viewing.
For example, FIG. 7 shows an illustrative screen of recommended content items in the form of a recommendation interface that includes an attraction interface having a plurality of recommended content items for selection, according to some embodiments of the disclosed subject matter. In particular, fig. 7 shows a "WATCH NOW (NOW)" interface 720 that includes information related to show a (show a), show b (show b), and show c (show c).
It should be noted that this can be presented in response to a query from a user, as described above. For example, the user can indicate a desire "watch so now" and, in response, can generate an attraction interface that includes recommended content items that are available for immediate consumption on the computing device or on a media device connected to the computing device. In addition, a time stamp parameter can be extracted from the query to generate the attraction interface. For example, a query can indicate that "watch metering tonight" (watch some programs this evening) or "watch metering this week found" (watch some programs this weekend) is desired, and in response, an attraction interface can be generated for a particular time. In addition, location parameters can be extracted from the query to generate an attraction interface. For example, the query can indicate that "stay at home" or "watch now" is desired, and in response, an attraction interface can be generated based on location information (e.g., current location information or location information related to the user's home location).
Additionally or alternatively, the attraction interface can be split such that the plurality of recommended content items are placed on separate recommendation interfaces. In some implementations, the attraction interface can be presented separately from the recommendation interface. For example, the attraction interface can be a first interface or a main interface presented to the user in response to launching the client application. In response to selecting a portion of the attraction interface, one or more recommender cards or recommendation interfaces within the attraction interface regarding recommended media content items can be re-presented to the user.
It should be noted that although the embodiments described herein generally show a recommendation interface with recommended media content items, this is merely illustrative. Any suitable recommendation corresponding to any suitable subject matter can also be provided. For example, a set of recommendation cards or interfaces can include an attraction card with recommended media content items, a weather card with current or predicted weather at a user location, and a map card with traffic information at the user location. It should also be noted that the cards or interfaces can include any suitable images, icons, graphics, videos, animations, sounds, tactile feedback, or any other suitable accompanying elements.
Turning to fig. 8, an example 800 of hardware that can be used in accordance with some embodiments is shown. As shown, the hardware 800 can include a card server 802, a location server 804, a data server 806, a media server 808, a communication network 810, and one or more user devices 812, such as a mobile phone 814, a tablet computer 816, and/or a television 818.
The card server 802 can be any suitable server for storing cards or parameters associated with cards and for presenting cards to the user device 812 in some implementations. For example, the card server 802 can store parameters (e.g., colors, images, icons, or any other suitable parameters) associated with the appearance of the card. Additionally or alternatively, card server 802 can deliver or present the card to user device 812 via communication network 810. In some implementations, the card server 802 can be omitted. In some implementations, the card and/or parameters associated with the card can be stored on and transferred from a memory of the user device 812.
Location server 804 can be any suitable server for determining, storing, and communicating information related to the location of user device 812 in some implementations. For example, location server 804 can determine and store the location of user device 812 via communication with a Global Positioning System (GPS) device on the user device. As another example, the location server 804 can provide the location of the user device 812 via the communication network 810 when queried. In some implementations, the location server 804 can be omitted.
The data server 806 can be any suitable server for storing and communicating data related to user preferences, user past actions, group data, or any other suitable data. For example, the data can include information about media content that is preferred by the user (determined from preferences indicated by the user or inferred based on past selections by the user), grouping preferences for the media content (e.g., ratings, comments, or any other indicators of group preferences), information related to when the user prefers to view the media content, information related to media content that is currently being discussed on one or more social networks, or any other suitable information. The data stored on the data server 806 can be accessed when determining which media content item to recommend to the user and which content source or sources to provide the recommended media content item by any suitable process, such as the processes 100, 200, and 300 shown in fig. 1-3 and described in connection with fig. 1-3.
The media server 808 can be any suitable server for storing media content and delivering content from content sources to the user device 108 in some implementations. For example, the media server 808 can be a server that streams media content to the user device 812 via the communication network 810. The media content provided by the media server 808 can be any content suitable for suggestion to a user, such as video content, audio content, television programs, movies, cartoons, music, sound effects, audiobooks, streaming live content (e.g., a streaming radio program, a live concert, or any other streaming content), or any other suitable media content. In some implementations, the media server 808 can be omitted. In some implementations, the media content can additionally or alternatively be delivered from a memory on the user device 812.
In some implementations, the communication network 810 can be any suitable combination of one or more wired and/or wireless networks. For example, the communication network 810 can include any one or more of the internet, a mobile data network, a satellite network, a local area network, a wide area network, a telephone network, a cable network, a WiFi network, a WiMax network, and/or any other suitable communication network.
User devices 812 can include any one or more user devices adapted to receive suggestions of media content. For example, in some implementations, user device 812 can include a mobile device, such as mobile phone 814, tablet computer 816, laptop computer, vehicle (e.g., car, boat, airplane, or any other suitable vehicle) entertainment system, portable media player, or any other suitable mobile device. As another example, in some implementations, user device 812 can include a non-mobile device, such as a desktop computer, a set-top box, a television 818, a streaming media player, a game console, or any other suitable non-mobile device.
Although card server 802, location server 804, data server 806, and media server 808 are illustrated as separate devices, in some implementations any one or more of these devices can be combined into one device. Further, although only one of each of the card server 802, the location server 804, the data server 806, and the media server 808 is shown in fig. 8 so as not to unduly complicate the drawing, any suitable device or devices of each type can be used in some implementations.
Although three user devices 814, 816, and 818 are shown in fig. 8 to avoid overcomplicating the drawing, any suitable number of each of these devices, as well as any suitable type of these devices, can be used in some implementations.
Card server 802, location server 804, data server 806, media server 808, and user device 812 can be implemented using any suitable hardware in some implementations. For example, in some embodiments, devices 802, 804, 806, 808, and 812 can be implemented using any suitable general purpose or special purpose computer. For example, the mobile phone 814 can be implemented using a special purpose computer. Any such general purpose or special purpose computer can include any suitable hardware. For example, as illustrated in the example hardware 900 of fig. 9, such hardware can include a hardware processor 902, memory and/or storage 904, an input device controller 906, an input device 908, a display/audio driver 910, a display and audio output circuit 912, communication interface(s) 914, an antenna 916, and a bus 918.
In some embodiments hardware processor 902 can comprise any suitable hardware processor, such as a microprocessor, microcontroller, digital signal processor, dedicated logic, and/or any other suitable circuitry for controlling the operation of a general purpose or special purpose computer.
Memory and/or storage 904 can be any suitable memory and/or storage for storing programs, data, media content, and/or any other suitable information in some implementations. For example, memory and/or storage 904 can include random access memory, read only memory, flash memory, hard disk storage, optical media, and/or any other suitable memory.
The input device controller 906 can be any suitable circuitry for controlling and receiving input from one or more input devices 908 in some implementations. For example, the input device controller 906 can be circuitry for receiving input from a touch screen, from one or more keys, from voice recognition circuitry, from a microphone, from a camera, from an optical sensor, from an accelerometer, from a temperature sensor, from a near field sensor, and/or from any other type of input device.
Display/audio driver 910 can be any suitable circuitry for controlling and driving output to one or more display/audio output circuits 912 in some implementations. For example, the display/audio driver 910 can be circuitry for driving an LCD display, speakers, LEDs, or any other type of output device.
The communication interface(s) (communication interface (s)) 914 can be any suitable circuitry for interfacing with one or more communication networks, such as network 810 shown in fig. 8. For example, the interface 914 can include a network interface card circuit, a wireless communication circuit, and/or any other suitable type of communication network circuit.
The antenna 916 can be any suitable antenna or antennas for wireless communication with a communication network in some implementations. In some embodiments, antenna 916 can be omitted when not needed.
Bus 918 can be any suitable mechanism for communicating between two or more components 902, 904, 906, 910, and 914 in some implementations.
According to some embodiments, any other suitable components can be included within hardware 900.
The components of hardware 900 can be used to perform the process blocks of processes 100, 200, and 300 of fig. 1, 2, and 3. For example, the user device 812 can communicate a query requesting the card(s) having the recommended media content items to be presented to the user by sending a signal to an external device (e.g., the card server 802) via the communication network 810. Similarly, once a card with a recommended media content item is created, the card server 802 can transmit the created card to the user device 812 via the communication network 810. As another example, a card or other interface can be stored in the memory 904 of the user device.
It should be understood that at least some of the above-described process blocks of fig. 1, 2, and 3 may be performed in any order or sequence and are not limited to the order or sequence illustrated and described in the figures. Furthermore, some of the process blocks of fig. 1, 2, and 3 described above can be executed substantially concurrently or in parallel, where appropriate, to reduce latency and processing time.
In some embodiments, any suitable computer readable medium can be used for storing instructions to perform the functions and/or processes described herein. For example, in some implementations, the computer-readable medium can be transitory or non-transitory. For example, a non-transitory computer-readable medium can include media such as magnetic media (such as a hard disk, a floppy disk, or any other suitable magnetic media), optical media (such as a compact disk, a digital video disk, a blu-ray disk, or any other suitable optical media), semiconductor media (such as flash memory, electrically programmable read-only memory (EPROM), electrically erasable programmable memory (EEPROM), or any other suitable semiconductor media), any suitable media that does not have any transitory or persistent phases during transmission, and/or any suitable tangible media. As another example, transitory computer-readable media can include signals on a network, in wires, in conductors, in optical fibers, in circuits, any suitable medium that is evanescent or lacks any persistent phase during transmission, and/or any suitable intangible medium.
Where the systems discussed herein collect personal information about a user or may use personal information, the user may be provided with an opportunity to control whether programs or functions collect user information (e.g., information about the user's social network, social actions or activities, profession, user preferences, or the user's current location), and/or to control whether and/or how content is received from a content server that may be more relevant to the user. Further, certain data may be processed in one or more ways before it is stored or used, such that personally identifiable information is removed. For example, the identity of the user may be processed such that personally identifiable information of the user cannot be determined, or the geographic location of the user obtaining the location information may be generalized (such as to a city, zip code, or state level) such that a particular location of the user cannot be determined. Thus, the user may have control over how information about the user is gathered and made available to the content server.
Accordingly, methods, systems, and media for presenting recommended media content items are provided.
While the invention has been described and illustrated in the foregoing illustrative embodiments, it is understood that the present disclosure has been made only by way of example, and that numerous changes in the details of the embodiments of the invention may be made without departing from the spirit and scope of the invention, which is limited only by the claims which follow. The features of the disclosed embodiments can be combined and rearranged in various ways.

Claims (24)

1. A method for providing media guidance, the method comprising:
receiving, using a hardware processor, a search query from a user having a user account;
determining, using the hardware processor, that a first portion of the search query implies a location associated with the user account, a second portion of the search query implies a time, and a third portion of the search query implies a device associated with the user account;
determining, using the hardware processor, that a plurality of media content items are available at the implied time at the implied location associated with the user account via the implied device;
selecting, using the hardware processor, at least one media content item from the plurality of media content items based on popularity information associated with each of the plurality of media content items; and
causing, using the hardware processor, a recommendation interface to be presented, wherein the recommendation interface includes the at least one media content item.
2. The method of claim 1, wherein each of the plurality of media content items is available from one of a plurality of content sources, and wherein the method further comprises:
selecting at least one content source from the plurality of content sources based on the implied location and popularity information associated with each of the plurality of content sources, wherein the at least one media content item included in the recommendation interface is provided from the at least one selected content source.
3. The method of claim 1, further comprising: ranking the plurality of media content items based on the popularity information, wherein the at least one media content item is selected based on the ranking.
4. The method of claim 1, wherein the at least one media content item is provided from a live content source available based on the implied location and the popularity information.
5. The method of claim 1, wherein the at least one media content item is selected based on one or more applications installed on a device associated with the user account.
6. The method of claim 1, wherein the at least one media content item is selected from on-demand content sources available to external streaming media devices associated with the user account.
7. The method of claim 1, wherein the at least one media content item is selected from on-demand content sources available based on one or more applications associated with a media device located at or near implied location information associated with a user account.
8. The method of claim 1, wherein the recommendation interface includes selecting one or more recommendation reasons for the at least one media content item.
9. A system for providing media guidance, the system comprising:
a hardware processor configured to:
receiving a search query from a user having a user account;
determining that a first portion of the search query implies a location associated with the user account, that a second portion of the search query implies a time, and that a third portion of the search query implies a device associated with the user account;
determining that a plurality of media content items are available via the implied device at the implied time at the implied location associated with the user account;
selecting at least one media content item from the plurality of media content items based on popularity information associated with each of the plurality of media content items;
causing a recommendation interface to be presented, wherein the recommendation interface includes the at least one media content item.
10. The system of claim 9, wherein each of the plurality of media content items is available from one of a plurality of content sources, and wherein the hardware processor is further configured to:
selecting at least one content source from the plurality of content sources based on the implied location and popularity information associated with each of the plurality of content sources, wherein the at least one media content item included in the recommendation interface is provided from the at least one selected content source.
11. The system of claim 9, wherein the hardware processor is further configured to: ranking the plurality of media content items based on the popularity information, wherein the at least one media content item is selected based on the ranking.
12. The system of claim 9, wherein the at least one media content item is provided from a live content source available based on the implied location and the popularity information.
13. The system of claim 9, wherein the at least one media content item is selected based on one or more applications installed on a device associated with the user account.
14. The system of claim 9, wherein the at least one media content item is selected from on-demand content sources available to external streaming media devices associated with the user account.
15. The system of claim 9, wherein the at least one media content item is selected from on-demand content sources available based on one or more applications associated with a media device located at or near implied location information associated with a user account.
16. The system of claim 9, wherein the recommendation interface includes one or more recommendation reasons for selecting the at least one media content item.
17. A non-transitory computer-readable medium containing computer-executable instructions that, when executed by a processor, cause the processor to perform a method for providing media guidance, the method comprising:
receiving a search query from a user having a user account;
determining that a first portion of the search query implies a location associated with the user account, that a second portion of the search query implies a time, and that a third portion of the search query implies a device associated with the user account;
determining that a plurality of media content items are available via the implied device at the implied time at the implied location associated with the user account;
selecting at least one media content item from the plurality of media content items based on popularity information associated with each of the plurality of media content items;
causing a recommendation interface to be presented, wherein the recommendation interface includes the at least one media content item.
18. The non-transitory computer-readable medium of claim 17, wherein each of the plurality of media content items is available from one of a plurality of content sources, and wherein the method further comprises:
selecting at least one content source from the plurality of content sources based on the implied location and popularity information associated with each of the plurality of content sources, wherein the at least one media content item included in the recommendation interface is provided from the at least one selected content source.
19. The non-transitory computer-readable medium of claim 17, wherein the method further comprises: ranking the plurality of media content items based on the popularity information, wherein the at least one media content item is selected based on the ranking.
20. The non-transitory computer-readable medium of claim 17, wherein the at least one media content item is provided from a live content source available based on the implied location and the popularity information.
21. The non-transitory computer-readable medium of claim 17, wherein the at least one media content item is selected based on one or more applications installed on a device associated with the user account.
22. The non-transitory computer-readable medium of claim 17, wherein the at least one media content item is selected from on-demand content sources available to an external streaming media device associated with the user account.
23. The non-transitory computer-readable medium of claim 17, wherein the at least one item of media content is selected from on-demand content sources available based on one or more applications associated with a media device located at or near implied location information associated with a user account.
24. The non-transitory computer-readable medium of claim 17, wherein the recommendation interface includes one or more recommendation reasons for selecting the at least one media content item.
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